Weight Pair Group Average Mean Clustering for Interval-valued Data
Sérgio Mário Lins Galdino, Paulo Maciel · 2019
Weight Pair Group Average Mean clustering is one of several methods of agglomerative hierarchical clustering. It is a very popular method for computing hierarchical clusterings. Currently, clustering methods rely dissimilarity measures for interval-valued data uses representative point distance. Our work apply Weight Pair Group Average Mean clustering to interval-valued data based on the Range Euclidean Metric is an reliable alternative to be used to uncertainty quantification from symbolic interval-valued data.